Package 'asylum'

Title: Data on Asylum and Resettlement for the UK
Description: Data on Asylum and Resettlement for the UK, provided by the Home Office <https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables>.
Authors: Matthew Gwynfryn Thomas [cre, aut], Mike Page [aut], British Red Cross [cph]
Maintainer: Matthew Gwynfryn Thomas <[email protected]>
License: MIT + file LICENSE
Version: 1.1.2.9000
Built: 2024-11-20 06:20:36 UTC
Source: https://github.com/humaniverse/asylum

Help Index


Age disputes

Description

Age disputes raised and outcomes of age disputes.

Usage

age_disputes

Format

A data frame with 8 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality of people applying

Region

World region the nation is in

Raised or resolved

'Raised' or 'Resolved'

Raised type / Resolved outcome

'Existing asylum application', 'Asylum application raised in quarter', 'Less than 18', or '18+'

Age disputes

Number of age disputes

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Age of asylum operations

Description

Age of Asylum Operations Initial Decision Work In Progress - applications made from 1st Oct 2006.

Usage

age_of_asylum_operations

Format

A data frame with 8 variables:

Date

Date

Year

Year

Quarter

Quarter

Total

Total awaiting initial asylum decision

Less than 3 months

Number waiting less than three months

3-6 months

Number waiting 3-6 months

6-12 months

Number waiting 6-12 months

12 months+

Number waiting more than a year

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Appeal Representation Rates

Description

Appeal representation rates.

Usage

appeal_representation_rate

Format

A data frame with 7 variables:

Date

Date

Year

Year

Quarter

Quarter

All hearings (%)

All hearings

First Tier (%)

First tier

Upper Tier (%)

Upper tier

Deportation (%)

Deportation

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Asylum appeals determined

Description

Outcomes of asylum appeals raised at the First-Tier Tribunal, by nationality and sex.

Usage

appeals_determined

Format

A data frame with 8 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality of people applying

Region

World region the nation is in

Outcome

'Allowed', 'Dismissed', or 'Withdrawn'

Sex

Gender/sex of applicants

Appeals determined

Number of appeals determined

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Asylum appeals lodged

Description

Asylum appeals raised at the First-Tier Tribunal, by nationality and sex.

Usage

appeals_lodged

Format

A data frame with 7 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality of people applying

Region

World region the nation is in

Sex

Gender/sex of applicants

Appeals lodged

Number of appeals lodged

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Non-suspensive appeals

Description

Initial decisions on asylum applications eligible for non-suspensive appeal, by nationality

Usage

appeals_non_suspensive

Format

A data frame with 10 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality of people applying

Region

World region the nation is in

Initial decisions from designated states

Initial decisions from designated states

Refusals from designated states

Refusals from designated states

Clearly unfounded refusals (designated states)

Clearly unfounded refusals (designated states)

Clearly unfounded refusals (non-designated states)

Clearly unfounded refusals (non-designated states)

Total eligible for the NSA process

Total eligible for the NSA process

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Asylum applications

Description

Asylum applications raised, by nationality, age, sex, UASC, applicant type, and location of application.

Usage

applications

Format

A data frame with 11 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality of people applying

Region

World region the nation is in

Age

Age group of applicants

Sex

Gender/sex of applicants

Applicant type

'Main applicant' or 'Dependant'

UASC

Are they an unaccompanied asylum-seeking child?

Location of application

'At Port' or 'In Country'

Applications

Number of applications

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Asylum applications processed within 6 months

Description

Percentage of Asylum applications processed within 6 months

Usage

applications_processed_in_6_months

Format

A data frame with 16 variables:

Date

Date

Year

Year

Quarter

Quarter

Decisions in

Column just containing a label saying "6 months"

Total Applications Received

Total applications received

Of those Applications received the number completed within six months

Number of applications completed

Of those Applications received the percentage completed within six months

Percent of applications completed

Total Male Applications Received

Total applications received for males

Of those Male Applications received the number completed within six months

Number of applications completed for males

Of those Male Applications received the percentage completed within six months

Percent of applications completed for males

Total Female Applications Received

Total applications received for females

Of those Female Applications received the number completed within six months

Number of applications completed for females

Of those Female Applications received the percentage completed within six months

Percent of applications completed for females

Total Unknown Applications Received

Total applications received for people whose sex/gender is unknown

Of those Unknown Applications received the number completed within six months

Number of applications completed for people whose gender/sex is unknown

Of those Unknown Straightforward Applications received the percentage completed within six months

Percent of applications completed for people whose gender/sex is unknown

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Aspen Cards in use

Description

The number of Aspen Cards in use.

Usage

aspen

Format

A data frame with 4 variables:

Date

Date

Year

Year

Quarter

Quarter

Aspen Cards in use

Number of Aspen Cards in use

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Aspen Card-related support

Description

The number of Aspen Card-related support enquiries received by the Home Office, Sodexo and Migrant Help.

Usage

aspen_support

Format

A data frame with 6 variables:

Date

Date

Year

Year

Quarter

Quarter

Home Office

NUmber of support enquiries received by the Home Office

Sodexo

enquiries received by Sodexo

Migrant Help

enquiries received by Migrant Help

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Breakdown of Asylum costs and productivity

Description

Breakdown of Asylum costs and productivity.

Usage

asylum_costs_and_productivity

Format

A data frame with 12 variables:

Financial Year

Financial year

Total Asylum Costs

The costs of managing an asylum operations claim include a) costs associated with deciding a case (screening clients, interviews and issuing a decision), b) managing any related appeal, c) the cost of all asylum operations support (S4, S95 & S98) d) detention costs where detention has been used and e) enforcement costs (escorting and assisted voluntary returns). Also included are the costs of department staff and buildings and the proportionate costs of the Home Office building and managerial costs

Asylum WIP (new method)

Number of work in progress claims (new method)

Asylum WIP (old method)

Number of work in progress claims (old method)

Unit Cost

Unit Costs - This is based on the Work in Progress figure. The costs of an asylum operations case will vary considerably dependent on the type of case (single, dependents) as well as barriers to documentation, legal challenges and logistical and practical challenges

Total Conclusion

Total conclusions

Average Conclusions Per Month

Average conclusions per month

Conclusions Productivity

Conclusions producitivity

Total Principal Stages Completed

Total principal stages completed

Average Principal Stages Completed Per Month

Average principal stages completed per month

Asylum Caseworking Staff

Number of asylum caseworking staff

Productivity

Productivity of staff

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Breakdown of asylum productivity

Description

Breakdown of asylum productivity by month.

Usage

asylum_productivity_breakdown

Format

A data frame with 6 variables:

Date

Date

Initial Decisions

Number of initial decisions made

Substantive Interviews

Number of substantive interviews completed

Total Principal Stages Completed

Total number of initial decisions and substantive interviews

Asylum Caseworking Staff

Number of asylum caseworking staff

Productivity

Productivity of staff (total principal stages completed divided by asylum caseworking staff)

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Asylum work in progress

Description

Asylum work in progress.

Usage

asylum_work_in_progress

Format

A data frame with 17 variables:

Date

Date

Year

Year

Quarter

Quarter

Total Work In Progress

Number of cases that are not concluded at the given point in time

Awaiting Initial Asylum Decision

Number waiting an initial decision

Post Decision

The 'Post Decision' sub-category includes cases that have had a decision but have not appealed, are not appeal rights exhausted, and have not been removed

Asylum Appeal Outstanding

Number with appeals outstanding

Subject to Removal Action

Number of cases in the work in progress caseload have been processed through the initial stages of the asylum operations system and are now 'subject to removal action'

On Hold

'On Hold' sub-category includes pre- and post-decision absconders

Further Leave Application Outstanding

Further Leave applications from former Unaccompanied Asylum Seeking Children given Discretionary Leave

Case Age: 0:12 Months

Age of the case

Case Age: 12:24 Months

Age of the case

Case Age: 24:36 Months

Age of the case

Case Age: 36+ Months

Age of the case

Gender: Male

Number of males

Gender: Female

Number of females

Gender: Unknown

Number of people whose gender/sex is unknown

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Asylum applications awaiting a decision

Description

Asylum applications awaiting an initial decision or further review, by nationality and applicant type.

Usage

awaiting_decision

Format

A data frame with 7 variables:

Date

Date

Nationality

Nationality of people awaiting a decision

Region

World region the nation is in

Applicant type

'Main applicant' or 'Dependant'

Application stage

'Pending initial decision' or 'Pending further review'

Duration

'More than 6 months', '6 months or less', or 'N/A - Further review'

Applications

Number of applications

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Children entering detention

Description

Number of occurrences of children entering detention, 2010 to 2022

Usage

children_entering_detention

Format

A data frame with 7 variables:

Date of entry to detention

Date of entry to detention

Total children

Total children

Children 4 and under

Children 4 and under

Children 5 to 11 years

Children 5 to 11 years

Children 12 to 16 years

Children 12 to 16 years

Children 17 years

Children 17 years

Total adults 18 and over

Total adults (18 and over)

...

Source

https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables-year-ending-march-2023#detention


Asylum claims certified under Section 94

Description

Initial decisions on asylum applications certified under Section 94, by nationality

Usage

claims_certified_section_94

Format

A data frame with 10 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality

Region

Region

Initial decisions from designated states

Initial decisions from designated states

Refusals from designated states

Refusals from designated states

Clearly unfounded refusals (designated states)

Clearly unfounded refusals (designated states)

Clearly unfounded refusals (non-designated states)

Clearly unfounded refusals (non-designated states)

Total clearly unfounded refusals

Total clearly unfounded refusals

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Decision Quality

Description

The Decision Quality percentage of Decisions Sampled.

Usage

decision_quality

Format

A data frame with 5 variables:

Financial Year

Financial year

Assurance

First line or second line assurance

Decision Quality (%)

Decision Quality percentage

Number of Decisions Sampled

Number of decisions sampled

Sample Size (%)

Sample size

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Initial decisions and resettlement

Description

Outcomes of asylum applications at initial decision, and refugees resettled in the UK, by nationality, age, sex, applicant type, and UASC (unaccompanied asylum-seeking children).

Usage

decisions_resettlement

Format

A data frame with 14 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality of people applying

Region

World region the nation is in

Case type

'Asylum Case' or 'Resettlement Case'

Case outcome group

'Grant of Other Leave', 'Grant of Protection', 'Refused', or 'Withdrawn'

Case outcome

Detailed description of the case outcome

Age

Age group of applicants

Sex

Gender/sex of applicants

Applicant type

'Main applicant' or 'Dependant'

UASC

Are they an unaccompanied asylum-seeking child?

Host Country

Host country, in cases of resettlement

Decisions

Number of decisions

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Average cost per day to hold an individual in immigration detention

Description

Average cost per day to hold an individual in immigration detention

Usage

detention_cost_per_day

Format

A data frame with 4 variables:

Date

Date

Year

Year

Quarter

Quarter

Cost

Cost

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#immigration-enforcement


Number of pregnant women detained in the immigration detention estate

Description

Number of pregnant women detained in the immigration detention estate

Usage

detention_pregnant_women

Format

A data frame with 4 variables:

Date

Date

Year

Year

Quarter

Quarter

Number of pregnant women detained in the immigration detention estate

Number of pregnant women detained in the immigration detention estate

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#immigration-enforcement


People entering, leaving and in detention by asylum and non-asylum

Description

People entering, leaving and in detention by asylum and non-asylum.

Usage

detention_summary_flow

Format

A data frame with 10 variables:

Date

Date

Entering detention

Entering detention

Entering detention Asylum

Entering detention Asylum

Entering detention Non-asylum

Entering detention Non-asylum

Leaving detention

Leaving detention

Leaving detention Asylum

Leaving detention Asylum

Leaving detention Non-asylum

Leaving detention Non-asylum

In detention (at end of period)

In detention (at end of period)

In detention Asylum

In detention Asylum

In detention Non-asylum

In detention Non-asylum

...

Source

https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables-year-ending-march-2023#detention


Deaths of persons detained under Immigration Act Powers and absconds from detention, 2017 to 2022

Description

Deaths of persons detained under Immigration Act Powers and absconds from detention, 2017 to 2022

Usage

detentions_deaths_and_absconds

Format

A data frame with 5 variables:

Year

Year

Deaths of persons detained under Immigration Powers

Deaths of persons detained under Immigration Powers

Of which occurred in the detention estate

Of which occurred in the detention estate

Escapes from detention centres

Escapes from detention centres

Absconds from escort

Absconds from escort

...

Source

https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables-year-ending-december-2022#detention


Deaths of persons detained under Immigration Act Powers, 2017 to 2021

Description

Deaths of persons detained under Immigration Act Powers, 2017 to 2021

Usage

detentions_deaths_details

Format

A data frame with 8 variables:

Year

Year

Number

Number identifying a person within each year

Sex

Sex

Age

Age

Nationality

Nationality

Cause of death

Cause of death

Place of incident

Place of incident

Place of death

Place of death

...

Source

https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables-year-ending-december-2022#detention


Dublin regulation

Description

Transfers and requests for transfer under the Dublin regulation, by EU member state and article.

Usage

dublin_regulation

Format

A data frame with 8 variables:

Date

The period in which the request or transfer of an asylum applicant under the Dublin Regulation was made

Year

Year

Quarter

Quarter

Member State

As applicable, the EU Member State which either raises, or receives, a request or transfer of an asylum applicant under the Dublin Regulation

In / Out

The direction of a request or transfer: either into, or out of, the UK

Request / Transfer

Whether the case is a request for transfer, or a transfer, of an asylum applicant

Article

The Article (rule) of the Dublin Regulation under which the request or transfer is carried out

Count

The number of transfers, or requests to transfer under the Dublin Regulation

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Family reunion visa grants

Description

Family reunion visas granted to family members of refugees, by nationality, sex and age.

Usage

family_reunion

Format

A data frame with 8 variables:

Date

The period in which the Family Reunion visa was granted

Year

Year

Quarter

Quarter

Nationality

Nationality of the visa recipient

Region

World region of the country of nationality for the visa recipient

Sex

The sex of the individual

Age

Age of individual at time of visa grant

Visas granted

The number of family reunion visas granted

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Grant rates at initial decision (annual)

Description

Grant rate is the proportion of initial decisions which resulted in a grant of protection or other leave.

Usage

grant_rates_initial_annual

Format

A data frame with 6 variables:

Year

Year

Nationality

Nationality

Region

Region

Grant

Total number of grants at initial decision

Refused

Total number of refusals at initial decision

Initial grant rate

Initial grant rate - percentage

...

Source

https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables-year-ending-december-2022


Grant rates at initial decision (quarterly)

Description

Grant rate is the proportion of initial decisions which resulted in a grant of protection or other leave.

Usage

grant_rates_initial_quarterly

Format

A data frame with 8 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality

Region

Region

Grant

Total number of grants at initial decision

Refused

Total number of refusals at initial decision

Initial grant rate

Initial grant rate - percentage

...

Source

https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables-year-ending-december-2022


Cases considered under inadmissibility rules

Description

Cases considered under inadmissibility rules, 1 January 2021 - 30 September 2022.

Usage

inadmissibility_cases_considered

Format

A data frame with 5 variables:

Date

Date

Quarter

Quarter

Year

Year

Stage

Stage at which the case is being considered

Cases

Number of cases

...

Details

Notes: 1. Data on inadmissibility are taken from internal Home Office management information and should be considered provisional. 2. The figures in this table include a small number of cases that entered the system before 1 January 2021, when the strengthened inadmissibility rules came into force. 3. Includes main applicants and dependants. 4. The time period relates to when the action was taken (e.g. the date the notice was issued, the date the inadmissibility decision was served, etc). 5. The data is a count of the outcomes, not a count of individuals; individuals will be counted multiple times in the data. For example, an individual who received a notice of intent and then a decision of inadmissibility will be counted once in the 'notice of intent issued' group and counted again in the 'inadmissibility decision served' group. 6. Data for October to December 2022 was not available at the time of data extraction for this release, due to ongoing work as immigration data transitions to a new case working system. Updated data will be included in a future edition of the Immigration System Statistics release. 7. 'Removals' includes all enforced removals of those entering the inadmissibility process. Where an enforced removal is linked to criminality, these have been excluded as the removal is not on the grounds of inadmissibility. However, there may still be a small number of enforced removals included in the figures which are for reasons other than inadmissibility. 8. Voluntary returns do not attract an inadmissible decision but require the applicant to withdraw their asylum claim. As such, voluntary returns have been excluded as they are not as a result of an inadmissibility decision. For the total number of asylum-related returns of asylum seekers (beyond those in the inadmissibility process), see the Returns summary table Ret_05.

Source

https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables-year-ending-december-2022


Irregular migration to the UK

Description

Number of detected attempts to enter the UK irregularly by method of entry, nationality, region, sex and age group.

Usage

irregular_migration

Format

A data frame with 9 variables:

Date

Date

Year

Year

Quarter

Quarter

Method of entry

Method of entry

Nationality

Nationality

Region

Region

Sex

Sex

Age Group

Age Group

Number of detections

Number of detections

...

Source

https://www.gov.uk/government/statistical-data-sets/irregular-migration-detailed-dataset-and-summary-tables


Resettlement by local authority

Description

Refugees resettled by resettlement scheme and local authority.

Usage

local_authority_resettlement

Format

A data frame with 8 variables:

Date

The period in which the refugee arrived in the UK

Year

Year

Quarter

Quarter

UK Region

Region of the UK in which the refugee was initially resettled

LAD Code

Local Authority (district) code as supplied by ONS

Local Authority

The Local Authority in which the refugee was initially resettled

Resettlement Scheme

The scheme under which the refugee was resettled

Persons

The number of refugees resettled

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Section 95 support by local authority

Description

Asylum seekers in receipt of section 95 support by local authority.

Usage

local_authority_support

Format

A data frame with 9 variables:

Date

The date at which the number of people in receipt of support refers to

Year

Year

Quarter

Quarter

Support Type

Section 95 or Section 4 support?

UK Region

The UK region of the individual's registered address

Local Authority

The Local Authority of the individual's registered address

LAD Code

Local Authority (district) code as supplied by ONS

Accommodation Type

Whether the support provided is subsistence only, or includes provision of accommodation

People

Number of people in receipt of section 95 support

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Notices of intent issued, by nationality

Description

Notices of intent issued, by nationality, 1 January 2021 to 30 September 2022

Usage

notices_of_intent

Format

A data frame with 2 variables:

Nationality

Nationality

Total

Total number of notices of intent issued

...

Details

1. Data on inadmissibility are taken from internal Home Office management information and should be considered provisional. 2. Includes main applicants and dependants. 3. Data for October to December 2022 was not available at the time of data extraction for this release, due to ongoing work as immigration data transitions to a new case working system. Updated data will be included in a future edition of the Immigration System Statistics release.

Source

https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables-year-ending-december-2022


NRM conclusive grounds decisions

Description

NRM conclusive grounds decisions made by both competent authorities by quarter, outcome and age at exploitation.

Usage

nrm_conclusive_grounds

Format

A data frame with 12 variables:

Year

Year

Quarter

Quarter

Adult (18 or over) - Negative conclusive grounds

Adult (18 or over) - Negative conclusive grounds

Adult (18 or over) - Positive conclusive grounds

Adult (18 or over) - Positive conclusive grounds

Adult (18 or over) - Total

Adult (18 or over) - Total

Child (17 or under) - Negative conclusive grounds

Child (17 or under) - Negative conclusive grounds

Child (17 or under) - Positive conclusive grounds

Child (17 or under) - Positive conclusive grounds

Child (17 or under) - Total

Child (17 or under) - Total

Age not specified or unknown - Negative conclusive grounds

Age not specified or unknown - Negative conclusive grounds

Age not specified or unknown - Positive conclusive grounds

Age not specified or unknown - Positive conclusive grounds

Age not specified or unknown - Total

Age not specified or unknown - Total

Total

Total decisions

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


Referrals received via the Duty to Notify process in Q2 2022, by nationality

Description

Referrals received via the Duty to Notify process in Q2 2022, by nationality

Usage

nrm_duty_to_notify_2022_q2

Format

A data frame with 2 variables:

Nationality

Nationality

Total

Number of referrals via duty to notify

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


Referrals received via the Duty to Notify process in Q3 2022, by nationality

Description

Referrals received via the Duty to Notify process in Q3 2022, by nationality

Usage

nrm_duty_to_notify_2022_q3

Format

A data frame with 2 variables:

Nationality

Nationality

Total

Number of referrals via duty to notify

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


Referrals received via the Duty to Notify process in Q4 2022, by nationality

Description

Referrals received via the Duty to Notify process in Q4 2022, by nationality

Referrals received via the Duty to Notify process in Q4 2022, by nationality

Usage

nrm_duty_to_notify_2022_q4

nrm_duty_to_notify_2022_q4

Format

A data frame with 2 variables:

Nationality

Nationality

Total

Number of referrals via duty to notify

...

A data frame with 2 variables:

Nationality

Nationality

Total

Number of referrals via duty to notify

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


Referrals received via the Duty to Notify process in Q1 2023, by nationality

Description

Referrals received via the Duty to Notify process in Q1 2023, by nationality

Usage

nrm_duty_to_notify_2023_q1

Format

A data frame with 2 variables:

Nationality

Nationality

Total

Number of referrals via duty to notify

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


Referrals received via the Duty to Notify process in Q2 2023, by nationality

Description

Referrals received via the Duty to Notify process in Q2 2023, by nationality

Usage

nrm_duty_to_notify_2023_q2

Format

A data frame with 2 variables:

Nationality

Nationality

Total

Number of referrals via duty to notify

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


Referrals received via the Duty to Notify process in Q3 2023, by nationality

Description

Referrals received via the Duty to Notify process in Q3 2023, by nationality

Usage

nrm_duty_to_notify_2023_q3

Format

A data frame with 2 variables:

Nationality

Nationality

Total

Number of referrals via duty to notify

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


Referrals received via the Duty to Notify process, by quarter

Description

Referrals received via the Duty to Notify process, by quarter

Usage

nrm_duty_to_notify_longitudinal

Format

A data frame with 3 variables:

Year

Year

Quarter

Quarter

Total

Number of referrals via duty to notify

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM reasonable grounds decisions

Description

NRM reasonable grounds decisions made by both competent authorities by quarter, outcome and age at exploitation.

Usage

nrm_reasonable_grounds

Format

A data frame with 12 variables:

Year

Year

Quarter

Quarter

Adult (18 or over) - Negative reasonable grounds

Adult (18 or over) - Negative reasonable grounds

Adult (18 or over) - Positive reasonable grounds

Adult (18 or over) - Positive reasonable grounds

Adult (18 or over) - Total

Adult (18 or over) - Total

Child (17 or under) - Negative reasonable grounds

Child (17 or under) - Negative reasonable grounds

Child (17 or under) - Positive reasonable grounds

Child (17 or under) - Positive reasonable grounds

Child (17 or under) - Total

Child (17 or under) - Total

Age not specified or unknown - Negative reasonable grounds

Age not specified or unknown - Negative reasonable grounds

Age not specified or unknown - Positive reasonable grounds

Age not specified or unknown - Positive reasonable grounds

Age not specified or unknown - Total

Age not specified or unknown - Total

Total

Total decisions

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals - Q2 2022

Description

NRM referrals - Q2 2022

Usage

nrm_referrals_2022_q2

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals - Q3 2022

Description

NRM referrals - Q3 2022

Usage

nrm_referrals_2022_q3

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals - Q4 2022

Description

NRM referrals - Q4 2022

Usage

nrm_referrals_2022_q4

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals - Q1 2023

Description

NRM referrals - Q1 2023

Usage

nrm_referrals_2023_q1

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals - Q2 2023

Description

NRM referrals - Q2 2023

Usage

nrm_referrals_2023_q2

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals - Q3 2023

Description

NRM referrals - Q3 2023

Usage

nrm_referrals_2023_q3

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals - Q4 2023

Description

NRM referrals - Q4 2023

Usage

nrm_referrals_2023_q4

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Government first responders - Q2 2022

Description

NRM referrals from Government first responders - Q2 2022

Usage

nrm_referrals_govt_2022_q2

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Government first responders - Q3 2022

Description

NRM referrals from Government first responders - Q3 2022

Usage

nrm_referrals_govt_2022_q3

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Government first responders - Q4 2022

Description

NRM referrals from Government first responders - Q4 2022

Usage

nrm_referrals_govt_2022_q4

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Government first responders - Q1 2023

Description

NRM referrals from Government first responders - Q1 2023

Usage

nrm_referrals_govt_2023_q1

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Government first responders - Q2 2023

Description

NRM referrals from Government first responders - Q2 2023

Usage

nrm_referrals_govt_2023_q2

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Government first responders - Q3 2023

Description

NRM referrals from Government first responders - Q3 2023

Usage

nrm_referrals_govt_2023_q3

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Government first responders - Q4 2023

Description

NRM referrals from Government first responders - Q4 2023

Usage

nrm_referrals_govt_2023_q4

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Local Authority first responders - Q2 2022

Description

NRM referrals from Local Authority first responders - Q2 2022

Usage

nrm_referrals_la_2022_q2

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Local Authority first responders - Q3 2022

Description

NRM referrals from Local Authority first responders - Q3 2022

Usage

nrm_referrals_la_2022_q3

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Local Authority first responders - Q4 2022

Description

NRM referrals from Local Authority first responders - Q4 2022

Usage

nrm_referrals_la_2022_q4

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Local Authority first responders - Q1 2023

Description

NRM referrals from Local Authority first responders - Q1 2023

Usage

nrm_referrals_la_2023_q1

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Local Authority first responders - Q2 2023

Description

NRM referrals from Local Authority first responders - Q2 2023

Usage

nrm_referrals_la_2023_q2

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Local Authority first responders - Q3 2023

Description

NRM referrals from Local Authority first responders - Q3 2023

Usage

nrm_referrals_la_2023_q3

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Local Authority first responders - Q4 2023

Description

NRM referrals from Local Authority first responders - Q4 2023

Usage

nrm_referrals_la_2023_q4

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals by quarter by age at exploitation and location of exploitation

Description

NRM referrals by quarter by age at exploitation and location of exploitation

Usage

nrm_referrals_longitudinal

Format

A data frame with 5 variables:

Year

Year

Quarter

Quarter

Age at exploitation

Age at exploitation

Location of exploitation

Location of exploitation

NRM referrals

Number of NRM referrals

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from NGO and third sector first responders - Q2 2022

Description

NRM referrals from NGO and third sector first responders - Q2 2022

Usage

nrm_referrals_ngo_2022_q2

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from NGO and third sector first responders - Q3 2022

Description

NRM referrals from NGO and third sector first responders - Q3 2022

Usage

nrm_referrals_ngo_2022_q3

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from NGO and third sector first responders - Q4 2022

Description

NRM referrals from NGO and third sector first responders - Q4 2022

Usage

nrm_referrals_ngo_2022_q4

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from NGO and third sector first responders - Q1 2023

Description

NRM referrals from NGO and third sector first responders - Q1 2023

Usage

nrm_referrals_ngo_2023_q1

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from NGO and third sector first responders - Q2 2023

Description

NRM referrals from NGO and third sector first responders - Q2 2023

Usage

nrm_referrals_ngo_2023_q2

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from NGO and third sector first responders - Q3 2023

Description

NRM referrals from NGO and third sector first responders - Q3 2023

Usage

nrm_referrals_ngo_2023_q3

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from NGO and third sector first responders - Q4 2023

Description

NRM referrals from NGO and third sector first responders - Q4 2023

Usage

nrm_referrals_ngo_2023_q4

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Police first responders - Q2 2022

Description

NRM referrals from Police first responders - Q2 2022

Usage

nrm_referrals_police_2022_q2

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Police first responders - Q3 2022

Description

NRM referrals from Police first responders - Q3 2022

Usage

nrm_referrals_police_2022_q3

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Police first responders - Q4 2022

Description

NRM referrals from Police first responders - Q4 2022

Usage

nrm_referrals_police_2022_q4

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Police first responders - Q1 2023

Description

NRM referrals from Police first responders - Q1 2023

Usage

nrm_referrals_police_2023_q1

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Police first responders - Q2 2023

Description

NRM referrals from Police first responders - Q2 2023

Usage

nrm_referrals_police_2023_q2

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Police first responders - Q3 2023

Description

NRM referrals from Police first responders - Q3 2023

Usage

nrm_referrals_police_2023_q3

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRM referrals from Police first responders - Q4 2023

Description

NRM referrals from Police first responders - Q4 2023

Usage

nrm_referrals_police_2023_q4

Format

A data frame with 7 variables:

First responder type

First responder type

First responder

First responder

Exploitation type

Labour, domestic, sexual etc. exploitation

Age at exploitation

Age group

Gender

Gender/sex

Nationality

Nationality

People

Number of people referred to NRM

...

Source

https://www.gov.uk/government/collections/national-referral-mechanism-statistics


NRPF - Destitution Change of Conditions Application by Age Group

Description

NFRP - Destitution Change of Conditions Applications by Age Group. Data relating to people who are on a Family or Human Rights route and apply to have the No Recourse to Public Funds (NRPF) condition lifted. A factsheet relating to NRPF can be found here: https://homeofficemedia.blog.gov.uk/2020/05/05/no-recourse-to-public-funds-nrpf/

Usage

nrpf_change_of_conditions_age

Format

A data frame with 12 variables:

Date

Date

Year

Year

Quarter

Quarter

Under 18

Number of applicants under 18

18 to 25

Number of applicants aged 18-25

26 to 30

Number of applicants aged 26-30

31 to 40

Number of applicants aged 31-40

41 to 50

Number of applicants aged 41-50

51 to 60

Number of applicants aged 51-60

61 to 70

Number of applicants aged 61-70

71 to 80

Number of applicants aged 71-80

Over 80

Number of applicants aged over 80

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


NFRP - Destitution Change of Conditions Applications and Outcomes

Description

NFRP - Destitution Change of Conditions Applications and Outcomes. Data relating to people who are on a Family or Human Rights route and apply to have the No Recourse to Public Funds (NRPF) condition lifted. A factsheet relating to NRPF can be found here: https://homeofficemedia.blog.gov.uk/2020/05/05/no-recourse-to-public-funds-nrpf/

Usage

nrpf_change_of_conditions_decisions

Format

A data frame with 10 variables:

Date

Date

Year

Year

Quarter

Quarter

Applications Received

Number of applications received

Of which: Pending

Number of applications pending

Decisions

Number of decisions made

Of which: Accepted

Decisions that were accepted

Of which: Rejected

Decisions that were rejected

Average Days to Decision

Average days taken to reach a decision

Acceptance Rate

Rate of acceptance

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


NFRP - Destitution Change of Conditions Applications by Gender

Description

NFRP - Destitution Change of Conditions Applications by Gender. Data relating to people who are on a Family or Human Rights route and apply to have the No Recourse to Public Funds (NRPF) condition lifted. A factsheet relating to NRPF can be found here: https://homeofficemedia.blog.gov.uk/2020/05/05/no-recourse-to-public-funds-nrpf/

Usage

nrpf_change_of_conditions_gender

Format

A data frame with 6 variables:

Date

Date

Year

Year

Quarter

Quarter

Male

Number of applications from males

Female

Number of applications from females

Recorded as Unknown

Number of applications from people whose sex/gender is unknown

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


NRPF - Destitution Change of Conditions Application by Nationality

Description

NFRP - Destitution Change of Conditions Applications by Nationality. Data relating to people who are on a Family or Human Rights route and apply to have the No Recourse to Public Funds (NRPF) condition lifted. A factsheet relating to NRPF can be found here: https://homeofficemedia.blog.gov.uk/2020/05/05/no-recourse-to-public-funds-nrpf/

Usage

nrpf_change_of_conditions_nationality

Format

A data frame with 26 variables:

Nationality

Nationality

2017 Q3

2017 Q3

2017 Q4

2017 Q4

2018 Q1

2018 Q1

2018 Q2

2018 Q2

2018 Q3

2018 Q3

2018 Q4

2018 Q4

2019 Q1

2019 Q1

2019 Q2

2019 Q2

2019 Q3

2019 Q3

2019 Q4

2019 Q4

2020 Q1

2020 Q1

2020 Q2

2020 Q2

2020 Q3

2020 Q3

2020 Q4

2020 Q4

2021 Q1

2021 Q1

2021 Q2

2021 Q2

2021 Q3

2021 Q3

2021 Q4

2021 Q4

2022 Q1

2022 Q1

2022 Q2

2022 Q2

2022 Q3

2022 Q3

2022 Q4

2022 Q4

2023 Q1

2023 Q1

2023 Q2

2023 Q2

2023 Q3

2023 Q3

2023 Q4

2023 Q4

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


National Transfer Scheme

Description

Number of individuals transferred between local authorities under the National Transfer Scheme for unaccompanied asylum seeking children.

Usage

nts

Format

A data frame with 9 variables:

Date

Date

Year

Year

Quarter

Quarter

Region

UK region

Local Authority or HSCT (NI)

Local Authority, or Health & Social Care Trust in Northern Ireland

Able to participate in the NTS?

Is this LA/HSCT participating in the National Transfer Scheme?

Transfers out of Local Authority

Number of transfers out of LA

Transfers into Local Authority

Number of transfers into LA

Transfers into LA from port/intake unit

Number of transfers into to LA from port/intake unit

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Volume of oral hearings represented by the Home Office

Description

The volume of oral hearings represented by the Home Office divided by the total number of oral hearing.

Usage

oral_hearings_volume

Format

A data frame with 4 variables:

Financial Year

Financial year

Asylum appeals represented at hearing (%)

Percent of sylum appeals represented at hearing

Asylum Oral Hearings

Number of asylum oral hearings

Asylum Oral Hearings Represented by HO

Number of asylum oral hearings represented by the Home Office

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Outcome analysis of asylum applications

Description

The initial decision and final outcome of all asylum applications raised in a period, by nationality.

Usage

outcomes

Format

A data frame with 26 variables:

Year of application

Year of application

Geographical region

Geographical region

Nationality

Nationality

Applications

Applications

Initial decisions

Initial decisions

Granted asylum

Granted asylum

Granted HP/DL

Granted HP/DL

Other grants

Other grants

Refused

Refused

Applications withdrawn

Applications withdrawn

Initial decisions not yet known

Initial decisions not yet known

Appeals lodged

Appeals lodged

Allowed appeals

Allowed appeals

Dismissed appeals

Dismissed appeals

Withdrawn appeals

Withdrawn appeals

Appeal outcome not yet known

Appeal outcome not yet known

Enforced returns

Enforced returns

Voluntary returns

Voluntary returns

Assisted returns (Subset of Voluntary returns)

Assisted returns (Subset of Voluntary returns)

Controlled returns (Subset of Voluntary returns)

Controlled returns (Subset of Voluntary returns)

Other verified returns (Subset of Voluntary returns)

Other verified returns (Subset of Voluntary returns)

Final outcome: Grants of asylum

Final outcome: Grants of asylum

Final outcomes: Grants of HP/DL and other

Final outcomes: Grants of HP/DL and other

Final outcomes: Refused asylum or HP or DL or other leave

Final outcomes: Refused asylum or HP or DL or other leave

Final outcome: Withdrawn application

Final outcome: Withdrawn application

Final outcome: Cases with final outcome not yet known

Final outcome: Cases with final outcome not yet known

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Number of entries into immigration detention

Description

Number of entries into immigration detention by nationality, age, sex and initial place of detention.

Usage

people_entering_detention

Format

A data frame with 9 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality

Region

Region

Sex

Sex

Age

Age

First place of detention

First place of detention

Entering

Entering

...

Source

https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets


Number of people in immigration detention

Description

Number of people in immigration detention at the end of each quarter by nationality, age, sex, current place of detention and length of detention.

Usage

people_in_detention

Format

A data frame with 10 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality

Region

Region

Sex

Sex

Age

Age

Current place of detention

Current place of detention

Length of detention

Length of detention

People

Number of people in detention

...

Source

https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets


Number of occurrences of people leaving detention

Description

Number of occurrences of people leaving detention by nationality, age, sex, reason for leaving detention and length of detention

Usage

people_leaving_detention

Format

A data frame with 10 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality

Region

Region

Sex

Sex

Age

Age

Reason for leaving detention

Reason for leaving detention

Length of detention

Length of detention

Leaving

Number of people leaving detention

...

Source

https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets


Number of returns from the UK

Description

Number of returns from the UK, by nationality, age, sex, type of return and return destination group

Usage

returns

Format

A data frame with 11 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality

Region

Region

Return type group

Return type group

Return type

Return type

Age

Age

Sex

Sex

Return destination group

Return destination group

Number of returns

Number of returns

...

Source

https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets


Returns from the UK, by nationality, type of return, and asylum/non-asylum

Description

Returns from the UK, by nationality, type of return, and asylum/non-asylum

Usage

returns_asylum

Format

A data frame with 5 variables:

Category

Asylum-related or non-asylum-related return?

Nationality

Nationality of people being returned

Enforced returns

Number of enforced returns

Voluntary returns

Number of voluntary returns

Refused entry at port and subsequently departed

Number refused entry at port and subsequently departed

...

Source

https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets


Returns from the UK, by nationality, type of return, and asylum/non-asylum

Description

Returns from the UK, by nationality, type of return, and asylum/non-asylum

Usage

returns_asylum_longitudinal

Format

A data frame with 5 variables:

Date of return

Date of return

Category

Asylum-related or non-asylum-related return?

Enforced returns

Number of enforced returns

Voluntary returns

Number of voluntary returns

Refused entry at port and subsequently departed

Number refused entry at port and subsequently departed

...

Source

https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets


Number of returns from the UK, by destination

Description

Number of returns from the UK, by type of return and country of destination

Usage

returns_by_destination

Format

A data frame with 8 variables:

Date

Date

Year

Year

Quarter

Quarter

Return type group

Return type group

Return type

Return type

Return destination

Return destination

Return destination region

Return destination region

Number of returns

Number of returns

...

Source

https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets


Number of foreign national offender returns from the UK, by destination

Description

Number of foreign national offender returns from the UK, by destination.

Usage

returns_offenders_by_destination

Format

A data frame with 6 variables:

Date

Date

Year

Year

Quarter

Quarter

Return destination

Return destination

Return destination region

Return destination region

Number of foreign national offender returns

Number of foreign national offender returns

...

Source

https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets


Number of foreign national offender returns from the UK, by nationality

Description

Number of foreign national offender returns from the UK, by nationality and return destination group.

Usage

returns_offenders_by_nationality

Format

A data frame with 7 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality

Region

Region

Return destination group

Return destination group

Number of foreign national offender returns

Number of foreign national offender returns

...

Source

https://www.gov.uk/government/statistical-data-sets/returns-and-detention-datasets


Number of asylum applications from small boat arrivals

Description

Number of asylum applications from small boat arrivals by asylum application, nationality, region, applicant type, sex and age group.

Usage

small_boat_asylum_applications

Format

A data frame with 11 variables:

Date

Date

Year

Year

Quarter

Quarter

Asylum application

Was an asylum application raised?

Nationality

Nationality

Region

Region

Applicant type

Main applicant or dependant

UASC

Unaccompanied asylum-seeking children?

Sex

Sex

Age Group

Age Group

Applications

Number of applications

...

Source

https://www.gov.uk/government/statistical-data-sets/irregular-migration-detailed-dataset-and-summary-tables


Initial decisions on asylum applications from small boat arrivals

Description

Initial decisions on asylum applications from small boat arrivals by nationality, region, asylum case outcome, asylum case outcome group, applicant type, sex and age group.

Usage

small_boat_initial_decisions

Format

A data frame with 12 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality

Region

Region

Asylum Case Outcome

Specific outcome of the asylum case

Asylum Case Outcome Group

Type of outcome

Applicant type

Main applicant or dependant

UASC

Unaccompanied asylum-seeking children?

Sex

Sex

Age Group

Age Group

Decisions

Number of decisions

...

Source

https://www.gov.uk/government/statistical-data-sets/irregular-migration-detailed-dataset-and-summary-tables


Outcomes of NRM referrals from small boat arrivals

Description

Outcomes of NRM referrals from small boat arrivals by nationality, region, sex, age group, NRM case outcome and NRM case outcome group.

Usage

small_boat_NRM_outcomes

Format

A data frame with 10 variables:

Date

Date

Year

Year

Quarter

Quarter

Nationality

Nationality

Region

Region

Sex

Sex

Age Group

Age Group

NRM Case Outcome

Specific outcome of the NRM case

NRM Case Outcome Group

Type of outcome

Referrals

Number of referrals

...

Source

https://www.gov.uk/government/statistical-data-sets/irregular-migration-detailed-dataset-and-summary-tables


Number of NRM referrals from small boat arrivals

Description

Number of NRM referrals from small boat arrivals by NRM referral, nationality, region, sex and age group.

Usage

small_boat_NRM_referrals

Format

A data frame with 9 variables:

Date

Date

Year

Year

Quarter

Quarter

NRM referral

Was an NRM referral raised?

Nationality

Nationality

Region

Region

Sex

Sex

Age Group

Age Group

Referrals

Number of referrals

...

Source

https://www.gov.uk/government/statistical-data-sets/irregular-migration-detailed-dataset-and-summary-tables


Applications for section 95 support

Description

Applications for section 95 support, by nationality, support type granted, and group type.

Usage

support_applications

Format

A data frame with 6 variables:

Year

Year

Nationality

Nationality of people receiving support

Region

World region the nation is in

Support type granted

'Accommodation', 'Closed / Invalid', or 'Subsistence Only'

Group type

'Single adult', 'Family', or 'Unknown'

Applications

Number of applications

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Applications for Support Section 4 and Section 95

Description

Applications for Support Section 4 and Section 95.

Usage

support_applications_rasi

Format

A data frame with 5 variables:

Date

Date

Year

Year

Quarter

Quarter

Section 4

Number of applications for Section 4 support

Section 95

Number of applications for Section 95 support

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration


Asylum seekers in receipt of support

Description

Asylum seekers in receipt of support at end of period, by nationality, support type, and UK region.

Usage

support_received

Format

A data frame with 7 variables:

Date

Date

Nationality

Nationality of people receiving support

Region

World region the nation is in

Support Type

Section 95, Section 98, or Section 4 support

Accommodation Type

'Dispersed Accommodation' or 'Subsistence Only' for Section 95 support

UK Region

Where the people are currently living

People

Number of people receiving support

...

Source

https://www.gov.uk/government/statistical-data-sets/asylum-and-resettlement-datasets


Travel documents

Description

Travel documents, applications raised and despatched.

Usage

travel_documents

Format

A data frame with 5 variables:

Date

Date

Year

Year

Quarter

Quarter

TD Raised

Number of travel document applications raised

TD Despatched

Number of travel documents despatched

...

Source

https://www.gov.uk/government/collections/migration-transparency-data#uk-visas-and-immigration